Algorand Manifest File
project.yaml file can be seen as an entry point of your project and it defines most of the details on how SubQuery will index and transform the chain data. It clearly indicates where we are indexing data from, and to what on chain events we are subscribing to.
The Manifest can be in either YAML or JSON format. In this document, we will use YAML in all the examples.
Below is a standard example of a basic
specVersion: 1.0.0 name: algorand-subql-starter version: 1.0.0 runner: node: name: "@subql/node-algorand" version: ">=1.0.0" query: name: "@subql/query" version: "*" description: >- This project can be used as a starting point for developing your Algorand SubQuery project repository: "https://github.com/subquery/algorand-subql-starter" schema: file: ./schema.graphql network: chainId: "wGHE2Pwdvd7S12BL5FaOP20EGYesN73ktiC1qzkkit8=" # This endpoint must be a public non-pruned archive node # Public nodes may be rate limited, which can affect indexing speed # When developing your project we suggest getting a private API key # You can get them from OnFinality for free https://app.onfinality.io # https://documentation.onfinality.io/support/the-enhanced-api-service endpoint: "https://algoindexer.algoexplorerapi.io" # Optionally provide the HTTP endpoint of a full chain dictionary to speed up processing dictionary: https://api.subquery.network/sq/subquery/Algorand-Dictionary # For the testnet use the following # chainId: "SGO1GKSzyE7IEPItTxCByw9x8FmnrCDexi9/cOUJOiI=" # endpoint: "https://algoindexer.testnet.algoexplorerapi.io" dataSources: - kind: algorand/Runtime startBlock: 50000 # Block to start indexing from mapping: file: ./dist/index.js handlers: - handler: handleBlock kind: algorand/BlockHandler - handler: handleTransaction kind: algorand/TransactionHandler filter: txType: pay # From the application TransactionType enum https://github.com/algorand/js-algorand-sdk/blob/5eb7b4ffe5fcb46812785fdc79e8a7edb78b084f/src/types/transactions/base.ts#L6 sender: "ZW3ISEHZUHPO7OZGMKLKIIMKVICOUDRCERI454I3DB2BH52HGLSO67W754" receiver: "ZW3ISEHZUHPO7OZGMKLKIIMKVICOUDRCERI454I3DB2BH52HGLSO67W754" - handler: handleTransaction kind: algorand/TransactionHandler filter: txType: acfg # From the application TransactionType enum https://github.com/algorand/js-algorand-sdk/blob/5eb7b4ffe5fcb46812785fdc79e8a7edb78b084f/src/types/transactions/base.ts#L6 applicationId: 1
Top Level Spec
|specVersion||String||The spec version of the manifest file|
|name||String||Name of your project|
|version||String||Version of your project|
|description||String||Discription of your project|
|repository||String||Git repository address of your project|
|schema||Schema Spec||The location of your GraphQL schema file|
|network||Network Spec||Detail of the network to be indexed|
|dataSources||DataSource Spec||The datasource to your project|
|templates||Templates Spec||Allows creating new datasources from this templates|
|runner||Runner Spec||Runner specs info|
|file||String||The location of your GraphQL schema file|
If you start your project by using the
subql init command, you'll generally receive a starter project with the correct network settings. If you are changing the target chain of an existing project, you'll need to edit the Network Spec section of this manifest.
chainId is the network identifier of the blockchain. In Algorand it is always the genesis hash of the network (hash of the first block).
Additionally you will need to update the
endpoint. This defines the wss endpoint of the blockchain to be indexed - this must be a full archive node. Public nodes may be rate limited which can affect indexing speed. We suggest getting a private API key when developing your project.
|chainId||String||A network identifier for the blockchain|
|endpoint||String||Defines the wss or ws endpoint of the blockchain to be indexed - This must be a full archive node.|
|port||Number||Optional port number on the |
|dictionary||String||It is suggested to provide the HTTP endpoint of a full chain dictionary to speed up processing - read how a SubQuery Dictionary works.|
|bypassBlocks||Array||Bypasses stated block numbers, the values can be a |
|node||Runner node spec||Describe the node service use for indexing|
|query||Runner query spec||Describe the query service|
Runner Node Spec
|version||String||Version of the indexer Node service, it must follow the SEMVER rules or |
Runner Query Spec
|name||String||We currently support |
|version||String||Version of the Query service, available versions can be found here, it also must follow the SEMVER rules or |
Defines the data that will be filtered and extracted and the location of the mapping function handler for the data transformation to be applied.
|startBlock||Integer||This changes your indexing start block, set this higher to skip initial blocks with less data|
|handlers & filters||Default handlers and filters||List all the mapping functions and their corresponding handler types, with additional mapping filters.|
Data Sources and Mapping
In this section, we will talk about the default Algorand runtime and its mapping. Here is an example:
dataSources: - kind: algorand/Runtime # Indicates that this is default runtime startBlock: 1 # This changes your indexing start block, set this higher to skip initial blocks with less data mapping: file: dist/index.js # Entry path for this mapping
Mapping Handlers and Filters
The following table explains filters supported by different handlers.
Your SubQuery project will be much more efficient when you only use
TransactionHandler with appropriate mapping filters (e.g. NOT a
txType is the enum for the type of transaction. You can see a list of valid enum values here.
Default runtime mapping filters are an extremely useful feature to decide what block, event, or extrinsic will trigger a mapping handler.
Only incoming data that satisfies the filter conditions will be processed by the mapping functions. Mapping filters are optional but are highly recommended as they significantly reduce the amount of data processed by your SubQuery project and will improve indexing performance.
modulo filter allows handling every N blocks, which is useful if you want to group or calculate data at a set interval. The following example shows how to use this filter.
filter: modulo: 50 # Index every 50 blocks: 0, 50, 100, 150....
Bypass Blocks allows you to skip the stated blocks, this is useful when there are erroneous blocks in the chain or when a chain skips a block after an outage or a hard fork. It accepts both a
range or single
integer entry in the array.
When declaring a
range use an string in the format of
"start - end". Both start and end are inclusive, e.g. a range of
"100-102" will skip blocks
network: chainId: "wGHE2Pwdvd7S12BL5FaOP20EGYesN73ktiC1qzkkit8=" endpoint: "https://algoindexer.algoexplorerapi.io" dictionary: https://api.subquery.network/sq/subquery/Algorand-Dictionary bypassBlocks: [1, 2, 3, "105-200", 290]
You can validate your project manifest by running
subql validate. This will check that it has the correct structure, valid values where possible and provide useful feedback as to where any fixes should be made.